Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE)

Amazon Web Services Canada, Inc.•4h ago

CanadaOnsiteFull-timeSenior Level7+ yrs exp

Apply now

Top focus

Vp EngineeringEngineering ManagerDirector Engineering

Build the future of AI innovation alongside AWS's most forward-thinking customers. The AWS Prototyping and AI Customer Engineering (PACE) team transforms ambitious ideas into working Generative AI and Agentic AI prototypes in days and weeks - not months - and we need world-class builders who can turn customer visions into reality. If you're passionate about full-stack development, love experimenting with cutting-edge AI technologies
thrive on shipping prototypes that demonstrate what's possible with large language models, autonomous agents
multi-agent systems, this is your opportunity to make history. In this role, you'll work hands-on with customers to architect and build production-ready AI prototypes using the latest Generative AI technologies - from prompt engineering and RAG architectures to function calling, autonomous agents
complex multi-agent orchestration. You'll leverage AI-driven development tools to write code faster, exploring agentic workflows where AI systems can reason, plan, use tools
collaborate to solve complex problems. You'll be a full-stack developer comfortable with multiple languages and frameworks, combining modern application patterns with AWS AI services to rapidly deliver solutions that showcase the transformative potential of Generative AI and Agentic AI. This isn't traditional consulting - you'll be writing code, making architectural decisions about agent behaviors and LLM integrations
creating breakthrough experiences that influence how organizations globally approach AI adoption. Position requires travel - generally 25% Key job responsibilities - Architect and build working Generative AI and Agentic AI prototypes directly with customers using AWS AI services (Bedrock, SageMaker, Q Developer) and cloud-native architectures, including autonomous agents, multi-agent systems, RAG architectures
LLM-powered applications that demonstrate production-ready solutions - Leverage AI-driven development tools (Cursor, Kiro, Q Developer, Cline, Windsurf) to accelerate prototype development, implementing patterns like prompt engineering, function calling, agent orchestration
tool use - Serve as a trusted technical advisor to customers on LLM selection, agent design patterns, agentic architectures
AI adoption strategies, guiding them through complex technical decisions and trade-offs - Collaborate with Technical Program Managers and Design Technologists to deliver customer engagements on time
partnering with AWS service teams to provide feedback and influence AI product roadmaps - Create and share reusable patterns and thought leadership through agent frameworks, code libraries, technical content, whitepapers, blogs
conference presentations that accelerate Generative AI and Agentic AI adoption across the AWS customer base A day in the life Your morning starts with team standup where you and fellow Prototyping Architects align with your Technical Program Manager on customer momentum, breakthrough patterns
hard problems at agentic AI's edge. Then into deep coding work building transformative agentic solutions, orchestrating multi-agent patterns integrated with AWS AI services. You make architectural decisions that drive measurable business outcomes: faster resolution, smarter recommendations, autonomous scaling. Mid-morning brings a strategic conversation with customer leadership on how agentic architectures power their business. Afternoon: architecting a retail shopping assistant with specialized agents, collaborating with Design Technologists. You document edge cases and patterns that become blueprints for future engagements. As day closes, you're context-switching between production code, architectural decisions
translating innovation into strategic language for leadership. You're building solutions that illuminate the path for how enterprises adopt transformative AI. About the team The PACE team accelerates innovation for AWS customers, setting the direction for enterprise adoption. We're builders: Design Technologists, Technical Program Managers
Prototyping Architects building solutions with world-class engineers using emerging technologies. We operate at technology's bleeding edge, embracing high-judgment experimentation as a catalyst for breakthrough innovation. We own decisions, partner with forward-thinking customers across industries
move at unprecedented speed, delivering functional prototypes in weeks and scaling learnings across enterprises. Our work shapes how industries adopt transformative technology. We engage with customer executives, collaborate on novel problems
drive impact globally.
Knowledge of cloud architecture - 7+ years of design, implementation, or consulting in applications and infrastructures experience
Knowledge of software development tools and methodologies - AWS Certifications (Solutions Architect, Developer
Machine Learning) or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off
other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 146,000.00 - 211,600.00 CAD annually

Required skills

AWSGenerative AIAIfull-stack developmentcloud architecturesoftware developmentprompt engineeringfunction callingagent orchestrationmulti-agent systems